An NLP attack that swaps gradient-important words with synonyms while minimizing BERT embedding distance is reported to beat PWWS and BERT-Attack on accuracy drop, perturbation rate, and queries, but the paper gives no code or full setup.
Generating natural language adversarial examples
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Adversarial Text Generation with Dynamic Contextual Perturbation
An NLP attack that swaps gradient-important words with synonyms while minimizing BERT embedding distance is reported to beat PWWS and BERT-Attack on accuracy drop, perturbation rate, and queries, but the paper gives no code or full setup.